#
# spec.py (c) Stuart B. Wilkins 2008
#
# $Id: spec.py 188 2011-02-21 15:24:22Z stuwilkins $
# $HeadURL: https://pyspec.svn.sourceforge.net/svnroot/pyspec/trunk/pyspec/spec.py $
#
#    This program is free software: you can redistribute it and/or modify
#    it under the terms of the GNU General Public License as published by
#    the Free Software Foundation, either version 3 of the License, or
#    (at your option) any later version.
#
#    This program is distributed in the hope that it will be useful,
#    but WITHOUT ANY WARRANTY; without even the implied warranty of
#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
#    GNU General Public License for more details.
#
#    You should have received a copy of the GNU General Public License
#    along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
# Part of the "pyspec" package
#

"""Python module for handling of spec data files (pyspec).

This module defines classes, objects and routines for reading SPEC datafiles
into python classes. There are three main classes for the data, SpecDataFile,
SpecScan and SpecData and are arranged as follows:

SpecDataFile, contains a single data file. The datafile is indexed upon
initializing the class to allow for fast searching of large data files.

To retrieve a scan from the datafile, an item is requested from the object. For
example;

    sd = SpecDataFile('data.01')
    scan = sd[100]

The construct sd[100] will return scan 100 as a SpecScan object. By passing a range
of integers, for example;

    scans = sd[[100, 101]]

these data will be concatenated into a single object. This is useful, for example,
when two scans are used to take the data (one wide, one close) and you need to fit
the data.

The SpecScan object contains members for all motors and counters for the scan in
question. These can be accessed in two main ways. For example, to obtain the
detector counts for the scan as an array;

   Det = sd[1000].Detector

or

   scan = sd[1000]
   Det = scan.Detector

can be used. For situations where you need machine adjustable code, the construct

   Det = scan.values['Detector']

can be used, where the member 'values' is a python dictionary of all scan variables.
In addition to the counters and motors, values defined in the header are also included.
See the SpecScan class documentation for further information.

Finally, the SpecScan class defines some helper routines for plotting, fitting etc.
which can be used to help in data analysis. See the documentation on the SpecScan class
for more information.

"""

import time
import sys
import os
import numpy

from numpy import *
from scipy import *
from pylab import *
import matplotlib.pylab as pylab
from fit import fit
from pyspec.ccd.transformations import FileProcessor
from copy import deepcopy, copy

__version__ = "$Revision: 188 $"
__author__ = "Stuart B. Wilkins <swilkins@bnl.gov>"
__date__ = "$LastChangedDate: 2011-02-21 10:24:22 -0500 (Mon, 21 Feb 2011) $"
__id__ = "$Id: spec.py 188 2011-02-21 15:24:22Z stuwilkins $"
__verbose__ = 0x01

NotInFile = "Scan is not in Datafile"

class SpecExtension:
    """Class to define extensions to SpecDataFile"""
    def __init__(self):
        return
    def getName(self):
        """Return string of name of extension"""
        return "Dummy"
    def initSpec(self, object):
        """Initialize SpecDataFile class"""
        return
    def initSpecScan(self, object):
        """Initialize SpecScan class"""
        return
    def parseSpecHeader(self, object, line):
        """Parse a line of a spec header and modify object with results"""
        return
    def parseSpecScanHeader(self, object, line):
        """Parse a line of a spec scan header and modify object with results"""
        return
    def postProcessSpecHeader(self, object):
        """Post process spec header"""
        return
    def postProcessSpecScanHeader(self, object):
        """Post process spec scan header"""
        return
    def concatenateSpecScan(self, object, a):
        return
    
# Now try to load default extensions
DefaultUserExtensions = []
try:
    from pyspec.ccd.specext import CCDSpecExtension
    DefaultUserExtensions.append(CCDSpecExtension())
except:
    pass

def removeIllegals(key):
    """Remove illegal character from string"""
    illegal = ['/', '-', ' ']
    for j in illegal:
        key = key.replace(j,'')
    if key[0].isalpha() == False:
        key = "X" + key

    return key

def splitSpecString(ips):
    """Split a spec string which is formated with two spaces"""
    ops = []
    for o in ips.split('  '):
        if o != '':
            ops.append(o.strip())

    return ops

class SpecDataFile:
    """ DataFile class for handling spec data files"""
    def __init__(self, fn, userext = [], **kwargs):
        """Initialize SpecDataFile

        Parameters
        ----------
        fn : string
             Filename of spec file to open
        userext : list
             A list of user extension classes to run on data

        Returns a SpecDataFile object

        """
        self.filename = fn
        self.mode = 'concat' # Set the default to concatenate multiple files

        # User extensions for adding functionality
        self.userExtensions = userext
        self.userExtensions = self.userExtensions + DefaultUserExtensions

        if __verbose__:
            for ext in self.userExtensions:
                print "**** Defining extension %s" % ext.getName()

        for ext in self.userExtensions:
            ext.initSpec(self)

        for arg in kwargs:
            # Set any keyword args into the base class
            setattr(self, arg, kwargs[arg])

        self._loadSpecFile()
        return

    def _loadSpecFile(self):
        if __verbose__:
            print "**** Opening specfile %s." % self.filename

        self.index()
        self.readHeader()
        print self.getStats()

        self.scandata = {}
        return

    def __getstate__(self):
        # Called to pickle class
        mydict = copy(self.__dict__)
        mydict['file'] = None
        return mydict

    def reset(self):
        """Reset the specfile class

        This routine resets the SpecDataFile, as if no scans
        had been read."""

        self.scandata = {}
        if __verbose__:
            print "**** SpecFile reset (all scans removed)"

    def reload(self):
        """Reload the data file

        This routine reloads (reindexes) the datafile"""

        if __verbose__:
            print "**** Reloading SpecFile"
        self._loadSpecFile()

    def setMode(self, mode = 'concatenate'):
        """Set the modee to deal with multiple scans

        mode : string
           If mode is 'concatenate' then concatenate scans together.
           If mode is 'bin' then bin (numerically the scans together.
        """

        if mode == 'concatenate':
            self.mode = 'concat'
            print "**** Multiple scans will be concatenated."
            return
        elif mode == 'bin':
            self.mode = 'bin'
            print "**** Multiple scans will be binned."
            return
        else:
            raise Exception("Unknown mode %s" % mode)

        return

    def readHeader(self):
        """Read the spec header from the datafile.

        Currently supported header items:
                '#O'    (Motor positions)
        """

        self.file = open(self.filename, 'rb')

        if __verbose__:
            print "---- Reading Header."

        self.motors = []
        self.file.seek(0,0)
        line = self.file.readline()
        while line[0:2] != "#S":
            if line[0:2] == "#O":
                self.motors = self.motors + splitSpecString(line[4:])
            else:
                # Run user extensions
                for ext in self.userExtensions:
                    ext.parseSpecHeader(self, line)
                    
            line = self.file.readline()

        for ext in self.userExtensions:
            ext.postProcessSpecHeader(self)

        self.file.close()
        return

    def index(self):
        """Index the datafile

        This routine indexes and sorts the byte-offests for
        all the scans (Lines beginning with '#S')

        """
        self.file = open(self.filename, 'rb')

        if __verbose__:
            print "---- Indexing scan :       ",
            sys.stdout.flush()
            sys.stderr.flush()

        self.file.seek(0,0)
        self.findex = {}

        pos = self.file.tell()
        line = self.file.readline()
        while line != "":
            if line[0:2] == "#S":
                a = line.split()
                s = int(a[1])
                if (s % 5) is 0:
                    print "\b\b\b\b\b\b\b%5d " % s,
                    sys.stdout.flush()
                self.findex[s] = pos
            pos = self.file.tell()
            line = self.file.readline()
        print "\b\b\b\b\b\b\bDONE  "

        self.file.close()
        return

    def getStats(self, head = "---- "):
        """ Returns string with statistics on specfile.

        Parameters
        ----------

        head : string
           append string head to status text

        """
        string = ""
        string = string + head + "Specfile contains %d scans\n" % len(self.findex)
        string = string + head + "Start scan = %d\n" % min(self.findex.keys())
        string = string + head + "End   scan = %d\n" % max(self.findex.keys())

        return string

    def _moveto(self, item):
        """Move to a location in the datafile for scan"""

        if self.findex.has_key(item):
            self.file.seek(self.findex[item])
        else:
            # Try re-indexing the file here.
            if __verbose__:
                print "**** Re-indexing scan file\n"
            self.index()
            if self.findex.has_key(item):
                self.file.seek(self.findex[item])
            else:
                raise Exception("Scan %s is not in datafile ....." % item)

    def __getitem__( self, item):
        """Convinience routine to use [] to get scan"""
        return self.getScan(item, setkeys = True)

    def getAll(self, *args, **kwargs):
        """Read all scans into the object"""
        for s in self.findex.keys():
            self.getScan(s, *args, **kwargs)

    def getScan(self, item, mask = None, setkeys = True, persistent = True,
                reread = False, **kwargs):
        """Get a scan from the data file

        This routine gets a scan from the data file and loads it into the
        list of SpecData instances.

        setting 'setkeys = True' will set attributes to the
        specdata item of all the motors and counters

        The mask can be used to detete bad points. This should be a list of datum 
        (data point numbers) which should be excluded. If the "item" is a list of
        scans (that will be concatenated or binned together) this should be a list
        containing either None for no removal of data points or a list of points to
        remove

        Returns the ScanData object corresponding to the scan requested.

        """

        if type(item) == int:
            items = (item,)
        elif type(item) == float:
            items = (int(item),)
        elif type(item) == list:
            items = tuple(item)
        elif type(item) == tuple:
            items = item
        elif type(item) == numpy.ndarray:
            items = item.tolist()
        else:
            raise Exception("item can only be <int>, <float>, <list>, <array> or <tuple>")

        if mask is None:
            mask = [None for i in items]

        if len(mask) != len(items):
            raise Exception("The mask list should be the same size as the items list")

        self.file = open(self.filename, 'rb')
        rval = []
        n = 0
        for i,m in zip(items, mask):
            if __verbose__:
                    print "**** Reading scan/item %s" % i
            if (self.scandata.has_key(i) is False) or (reread is True):
                self._moveto(i)
                self.scandata[i] = SpecScan(self, i, setkeys, mask = m, **kwargs)

            rval.append(self.scandata[i])

        self.file.close()
                
        if len(rval) > 1:
            newscan = deepcopy(rval[0])
            for i in range(len(rval)-1):
                if self.mode == 'concat':
                    newscan.concatenate(rval[i+1])
                elif self.mode == 'bin':
                    newscan.bin(rval[i+1], binbreak = 'Seconds')
                else:
                    raise Exception("Unknown mode to deal with multiple scans.")
            rval = [newscan]

        return rval[0]

    def _getLine(self):
        """Read line from datafile"""

        line = self.file.readline()
        if __verbose__ & 0x10:
            print "xxxx %s" % line.strip()
        return line

class SpecScan:
    """Class defining a SPEC scan

    This class defines a single spec scan, or a collection of scans either binned or concatenated.
    The class has members for the data and variables contained in the scan. If the optional 'setkeys'
    is defined (see __init__) then the motor positions and variables will be set as class members. For
    example, in a typical scan the motor position TTH can be accessed as a class member by SpecScan.TTH

    This object has some standard members:

    header     : [string]  Header of spec scan
    values     : [dict]    All scan data variables (Motors and Counters)
    data       : [array]   All scan data (cols = variables, rows = datum)
    comments   : [string]  Comments inserted in scan
    scandate   : [time]    Date of start of scan

    There are a number of special members. Wherever possible the following members are added to
    the class:

    Qvec       : [array]   Q Vector
    alphabeta  : [array]   array([alpha, beta])
    wavelength : [float]   incident wavelength
    omega      : [float]   omega ((TTH / 2) - TH)
    azimuth    : [float]   azimuthal angle

    """

    def __init__(self, specfile, item, setkeys = True, mask = None, **kwargs):
        """Read scan data from SpecFile

        Initialize the SpecScan class from a SpecData instance.

        Parameters
        ----------
        specfile       : [SpecFile] Instance of a spec data file.
        item           : [item]     Scan item.
        setkeys        : [bool]     If true set items of the class
                                    from all variables.
        """

        # Keep track of the datafile

        self.datafile = specfile
        self.scandata = SpecData()
        self.scanplot = None
        self.scanplotCCD = None
        self.setkeys = setkeys

        # Define the SIXC angles

        self.sixcAngleNames = ['Delta', 'Theta', 'Chi', 'Phi', 'Mu', 'Gamma']
        self.fourcAngleNames = ['TwoTheta', 'Theta', 'Chi', 'Phi']

        line = specfile._getLine()

        if __verbose__:
            print "---- %s" % line.strip()

        sline = line.strip().split()

        self.scan = int(sline[1])
        self.scan_type = sline[2]
        self.scan_command = ' '.join(sline[2:])

        self.header = line
        self.comments = ""

        x = 0
        self.values = {}
        self.data = array([])

        self.UB = eye(3)

        line = specfile._getLine()
        self.header = self.header + line

        # Run the init for any user extensions
        for ext in specfile.userExtensions:
            ext.initSpecScan(self)

        # Finally overide any assigments with values passed as keyword arguments
        for arg in kwargs:
            setattr(self, arg, kwargs[arg])

        #
        # Read the spec header and place the data into this class
        #

        while (line[0:2] != "#L") & (line != ""):
            if line[0:2] == "#P":
                # Motor positions
                pos = line.strip().split()
                for i in range(1,len(pos)):
                    self.scandata.setValue(removeIllegals(specfile.motors[x]), array([float(pos[i])]))
                    x += 1

            elif line[0:2] == "#C":
                # Comments
                self.comments = self.comments + line

            elif line[0:2] == "#D":
                try:
                    self.scandate = strptime(line[2:].strip())
                except:
                    self.scandate = None
            elif line[0:3] == "#G4":
                try:
                    pos = line[3:].strip().split()
                    self.Qvec = array([float(pos[0]), float(pos[1]), float(pos[2])])
                    self.alphabeta = array([float(pos[4]), float(pos[5])])
                    self.wavelength = float(pos[3])
                    self.energy = 12398.4 / self.wavelength
                    self.omega = float(pos[6])
                    self.azimuth = float(pos[7])
                except:
                    print "**** Unable to read geometry information (G4)"
            elif line[0:3] == "#G1":
                try:
                    pos = line[3:].strip().split()
                    pos = array(map(float, pos))

                    self.Lattice = pos[0:6]
                    self.RLattice = pos[6:12]
                    self.or0 = pos[12:15]
                    self.or1 = pos[15:18]
                    sa = pos[18:-2].reshape(2, -1)
                    self.or0Angles = sa[0,:]
                    self.or1Angles = sa[1,:]
                    self.or0Lambda = pos[-2]
                    self.or1Lambda = pos[-1]
                except:
                    print "**** Unable to read geometry information (G1)"

            elif line[0:3] == "#G3":
                try:
                    pos = line[3:].strip().split()
                    pos = array(map(float, pos))

                    self.UB = pos.reshape(-1, 3)
                except:
                    print "**** Unable to read UB matrix (G3)"
            else:
                # Try using the user extensions to parse the lines
                for ext in specfile.userExtensions:
                    ext.parseSpecScanHeader(self, line)
            
            line = specfile._getLine()
            self.header = self.header + line

        if line[0:2] == "#L":
            # Comment line just before data
            self.cols = splitSpecString(line[3:])
            print "---- %s" % line.strip()

        line = specfile._getLine()
        self.header = self.header + line

        print "---- %s" % line.strip()

        while (line[0:2] != "#S") & (line != "") & (line[0:4] != "# CM"):
            if line[0] != "#":
                datum = array([])
                d = line.strip().split()
                if len(d) != 0:
                    for i in range(len(d)):
                        v = array([float(d[i])])
                        datum = concatenate((datum, v), 1)

                    if self.data.size == 0:
                        self.data = datum
                    else:
                        self.data = vstack((self.data, datum))

            elif line[0:2] == '#C':
                self.comments = self.comments + line
            else:
                self.header = self.header + line

            line = specfile._getLine()

        if self.data.ndim == 1:
            self.data = numpy.array([self.data])

        if mask is not None:
            if __verbose__:
                print "---- Removing rows %s from data." % str(mask)
            self.data = np.delete(self.data, mask, axis = 0)

        self.scanno = numpy.ones(self.data.shape[0], dtype = numpy.int) * self.scan
        self.scandatum = arange(self.data.shape[0])

        # Run the extension post processing scripts

        for ext in specfile.userExtensions:
            if __verbose__:
                print "---- Using extension %s" % ext.getName() 
            ext.postProcessSpecScanHeader(self)

        # Now set the motors
        self._setcols()

        if __verbose__:
            print "---- Data is %i rows x %i cols." % (self.data.shape[0], self.data.shape[1])

        return None

    def _setcols(self):
        if self.data.shape[0] > 0:
            for i in range(len(self.cols)):
                if len(self.data.shape) == 2:
                    self.scandata.setValue(removeIllegals(self.cols[i]), self.data[:,i])
                else:
                    self.scandata.setValue(removeIllegals(self.cols[i]), array([self.data[i]]))

        # Now set the variables into the scan class from the data

            if self.setkeys:
                for i in self.scandata.values.keys():
                    if __verbose__ & 0x02:
                        print "oooo Setting variable %s" % i
                    setattr(self,i , self.scandata.values[i])
                self.values = self.scandata.values


    def concatenate(self, a):
        # Could put check in here for cols matching ?!?

        self.header = self.header + a.header
        self.data = vstack((self.data, a.data))
        self.scanno = concatenate((self.scanno, a.scanno))
        self.scandatum = concatenate((self.scandatum, a.scandatum))

        for ext in self.datafile.userExtensions:
            ext.concatenateSpecScan(self, a)

        self._setcols()

    def bin(self, a, binbreak = None):
        """Bin the scans together adding the column values

        a is a SpecScan object of the file to bin.

        Note:
        This routine only bins the "data" portion of the scan. It returns the
        origional scans motors etc.

        """
        # First check if scans are the same.
        if self.cols != a.cols:
            raise Exception("Scan column headers are not the same.")
        self.header = self.header + a.header
        if binbreak != None:
            if binbreak in self.cols:
                flag = False
                for i in range(len(self.cols)):
                    if self.cols[i] == binbreak:
                        flag = True
                    if flag:
                        self.data[:,i] = self.data[:,i] + a.data[:,i]
            else:
                raise Exception("'%s' is not a column of the datafile." % binbreak)
        else:
            self.data = self.data + a.data
        self._setcols()

        return self

    def __getstate__(self):
        # Copy the dictionary and then return the copy
        return self.__dict__

    def getSIXCAngles(self):
        """This function returns the SIXC angles
        for the scan as a Nx6 array"""
        self.sixcAngles = zeros((self.data.shape[0], 6))
        for i, name in zip(range(6), self.sixcAngleNames):
            v = self.scandata.get(name)
            if v.size == 1:
                v = ones(self.data.shape[0]) * v
            self.sixcAngles[:,i] = v

        return self.sixcAngles

    def plot(self,  *args, **kwargs):
        """Plot the SpecScan using matplotlib"""

        if self.scanplot == None:
            self.scanplot = SpecPlot(self)

        self.scanplot.show(*args, **kwargs)
        return self.scanplot

    def plotCCD(self,  *args, **kwargs):
        """Plot the SpecScan CCD images using matplotlib"""

        if self.scanplotCCD == None:
            self.scanplotCCD = SpecPlotCCD(self)

        self.scanplotCCD.show(*args, **kwargs)
        return self.scanplotCCD

    def fit(self, funcs, quiet = False):
        """
        Overloaded function which calls the current scanplot
        with scanplot.fit(...)
        """
        if self.scanplot == None:
            raise Exception("You need to plot something before trying to fit it!")
        else:
            return self.scanplot.fit(funcs, quiet)

    def __str__(self):
        return self.show()

    def show(self, prefix = "", nperline = 4):
        """Return string of statistics on SpecScan"""
        p = ""
        p = p + "Scan:\n\n"
        p = p + "\t%s\n\n" % self.scan
        p = p + "Datafile:\n\n"
        p = p + "\t%s\n\n" % self.datafile.file.name
        p = p + "Scan Command:\n\n"
        p = p + "\t%s\n\n" % self.scan_command
        p = p + "Scan Constants:\n\n"

        j = nperline
        typestoprint = [float, str, numpy.ndarray, int, numpy.float64]
        
        for d in self.__dict__:
            if not self.scandata.values.has_key(d):
                if typestoprint.count(type(getattr(self, d))):
                    p = p + "%-19s " % d
                    print d, type(getattr(self, d))
                    j -= 1
                    if j == 0:
                        p = p + "\n"
                        j = nperline
                        
        p = p + "\n\n"
        p = p + self.scandata.show(prefix, nperline)
        return p

    def getYE(self, ycol = None, mcol = None):
        """Return an tuple of two arrays of y and e"""

        if type(ycol) == str:
            ycol = self.scan.cols.index(ycol)
        if type(mcol) == str:
            mcol = self.scan.cols.index(mcol)
        if ycol == None:
            ycol = -1
        if mcol == None:
            mcol = -2

        y = self.data[:,ycol]
        m = self.data[:,mcol]

        e = sqrt(y) / y
        y = y / m
        e = e * y

        return (y, e)

class SpecData:
    """Class defining the data contained in a scan"""
    def __init__(self):
        self.values = {}

    def setValue(self, key, data, setdata = True):
        self.values[key] = data
        if __verbose__ & 0x20:
            print "oooo Setting key %s" % key

    def get(self, key):
        if self.values.has_key(key):
            return self.values[key]
        else:
            return None

    def __str__(self):
        return self.show()

    def show(self, prefix = "", nperline = 6):
        """Return string of statistics on data (motors, scalars)"""

        j = nperline
        p = ""
        p = p + prefix + "Motors:\n\n"
        p = p + prefix
        for i in self.values.keys():
            if self.values[i].size == 1:
                p = p + "%-19s " % i
                j -= 1
                if j == 0:
                    p = p + "\n" + prefix
                    j = nperline

        if j != nperline:
            p = p + "\n" + prefix

        p = p + "\n"

        p = p + prefix + "\n"
        p = p + prefix + "Scan Variables:\n"
        p = p + prefix + "\n"
        j = nperline
        for i in self.values.keys():
            if self.values[i].size > 1:
                p = p + "%-19s " % i
                j -= 1
                if j == 0:
                    p = p + "\n" + prefix
                    j = nperline

        p = p + "\n"
        return p

class SpecPlot:
    def __init__(self, specscan):
        self.scan = specscan
        self.plt = None


    def show(self,  xcol = None, ycol = None, mcol = None,
             norm = True, doplot = True, errors = True,
             fmt = 'ro', new = True,
             xint = 200, yint = 200,
             notitles = False, log = False, twodtype = 'contour'):
        """Plot and display the scan

        'xcol', 'ycol' and 'mcol' can be either numbers (negative count from end)
        or string values for the motor names

        for 2D plots 'xcol' can be a list or array e.g. [0, 1]

        'norm = False' will suppress normalization of the data
        'doplot = False' will suppress the plotting of the figure
        'errors = False' will suppress the plotting of errorbars
        'fmt' is the format string passed onto the plot command
        'new = True' will create a new figure
        'xint = 200' will set the x size of the 2D grid to 200 pts
        'yint = 200' will set the y size of the 2D grid to 200 pts
        'log = True' will set the y axis to logscale
        'twodtype = 'contout''
        """

        twod = False
        x2col = None

        if ycol == None:
            ycol = -1
        if mcol == None:
            mcol = -2

        if xcol is None:
            if self.scan.scan_type.strip() == 'hklmesh':
                # Look at H K and L and see which varies the most
                # This is a cludge, surely there is a better way of
                # doing this!

                v = self.scan.data[:,0:3].var(axis=0)
                v = vstack((arange(0,3), v))
                v = v.transpose()
                v = v[argsort(v[:,1],0)]
                xcol = int(v[2,0])
                x2col = int(v[1,0])
                twod = True
            elif self.scan.scan_type.strip() == 'mesh':
                x2col = 1
                xcol = 0
                twod = True
            else:
                x2col = None
                xcol = 0

        if (type(xcol) == list) | (type(xcol) == ndarray):
            x2col = xcol[1]
            xcol = xcol[0]
        else:
            if (type(xcol) != int) & (type(xcol) != str):
                raise Exception("Illegal '%s' : xcol can only be 'int', 'list' or 'ndarray'." % type(xcol))


        if type(xcol) == str:
            xcol = self.scan.cols.index(xcol)
        if type(x2col) == str:
            x2col = self.scan.cols.index(x2col)
        if type(ycol) == str:
            # Not a number so it is probably a name
            ycol = self.scan.cols.index(ycol)
        if type(mcol) == str:
            mcol = self.scan.cols.index(mcol)


        if x2col != None:
            twod = True

        self.plotx = self.scan.data[:,xcol]
        if x2col != None:
            self.plotx = vstack((self.plotx, self.scan.data[:,x2col]))
            self.plotx = self.plotx.transpose()

        if __verbose__:
            print "**** Plotting scan %s (%s)" % (self.scan.scan, self.scan.scan_command)
            print "---- x  = %s" % self.scan.cols[xcol]
            if x2col != None:
                print "---- x2 = %s" % self.scan.cols[x2col]

        if norm == True:
            self.ploty = self.scan.data[:,ycol] / self.scan.data[:,mcol]
            self.plote = self.ploty * (sqrt(self.scan.data[:,ycol]) / self.scan.data[:,ycol])
            yl = "%s / %s" % (self.scan.cols[ycol], self.scan.cols[mcol])
            if __verbose__:
                print "---- y  = %s / %s" % (self.scan.cols[ycol], self.scan.cols[mcol])
        else:
            self.ploty = self.scan.data[:,ycol]
            self.plote = sqrt(self.ploty)
            yl = self.scan.cols[ycol]
            if __verbose__:
                print "---- y  = %s" % self.scan.cols[ycol]
        if log == True:
            plotit = semilogy
        else:
            plotit = plot

        if twod:
            # Add check for matplotlib version
            pass

        # Plot the data
        if doplot:
            if new:
                pylab.figure()

            hold(False)

            if twod:
                xi = linspace(min(self.plotx[:,0]), max(self.plotx[:,0]), xint)
                yi = linspace(min(self.plotx[:,1]), max(self.plotx[:,1]), yint)
                print "---- xint = %d" % xint
                print "---- yint = %d" % yint
                if log:
                    zi = griddata(self.plotx[:,0], self.plotx[:,1], numpy.log10(self.ploty), xi, yi)
                else:
                    zi = griddata(self.plotx[:,0], self.plotx[:,1], self.ploty, xi, yi)
                if twodtype == 'pcolor':
                    pcolor(xi, yi, zi)
                else:
                    contour(xi,yi,zi)
                if log:
                    colorbar(format=FormatStrFormatter('$10^{%d}$'))
                else:
                    colorbar()

                xlim([min(self.plotx[:,0]), max(self.plotx[:,0])])
                ylim([min(self.plotx[:,1]), max(self.plotx[:,1])])

                if not notitles:
                    xlabel(self.scan.cols[xcol])
                    ylabel(self.scan.cols[x2col])
            else:
                dy = max(self.ploty) - min(self.ploty)
                mde = mean(self.plote)
                if (mde > dy) | isnan(mde) :
                    errors = False
                    print "---- Errorbars disabled due to large errors"
                if errors:
                    hold(True) # Needed for errorbar plots
                    self.plt = errorbar(    self.plotx, self.ploty, self.plote,
                                                            ecolor = 'red', fmt = fmt)
                else:
                    self.plt = plot(self.plotx, self.ploty, fmt)

                grid(True)

                if not notitles:
                    xlabel(self.scan.cols[xcol])
                    ylabel(yl)

                xlim((min(self.plotx), max(self.plotx)))

            if not notitles:
                title("%s [%d]\n%s" % (self.scan.datafile.file.name, self.scan.scan, self.scan.scan_command))
            self.plotted = True
        else:
            self.plotted = False

    def fit(self, funcs, quiet = False):

        f = fit(x = self.plotx, y = self.ploty, funcs = funcs)
        plsq = f.go()

        # Generate a new values of x (500) to make plotted
        # functions look good!

        step = ( self.plotx.max() - self.plotx.min() ) / 500
        x = arange(self.plotx.min(), self.plotx.max(), step)

        self.fitx = x
        self.fity = f.evalfunc(x = x)

        if self.plotted:
            hold(True)
            plot(self.fitx,self.fity, 'b-')

        return plsq

class SpecPlotCCD():
    """This class defines routines which plot a specfile CCD data"""

    def __init__(self, specscan):
        """Initialize class from specscan"""
        self.scan = specscan
        self.plt = None

    def show(self, imagen = None, size = (4, 3), dark = True,
             log = False, limits = None):
        """Plot out CCD images.

        imagen : numbers of images (data points) to plot as a list.
        size   : grid to show images on"""

        if imagen is None:
            imagen = range(self.scan.data.shape[0])

        images = FileProcessor(spec = self.scan)
        images.process(dark)

        if len(imagen) == 1:
            f = figure()
            ax1 = axes([0.35, 0.35, 0.6, 0.6])
            ax2 = axes([0.35, 0.1, 0.6, 0.1])
            ax3 = axes([0.1, 0.35, 0.1, 0.6])

            data = images.getImage(imagen[0])
            if log:
                data = numpy.ma.array(data, mask = data <= 0)
                data = log10(data)
            
            if limits is not None:
                dmin, dmax = setImageRange(data, limits)
            else:
                dmin = data.min()
                dmax = data.max()

            ims = ax1.imshow(data, vmin = dmin, vmax = dmax, cmap = cm.jet)
            print ims.figbox
            ax1.set_aspect(1./ax1.get_data_ratio())
            ax2.plot(arange(data.shape[1]), data.sum(0))
            ax2.set_xlim([0, data.shape[1]])
            ax3.plot(data.sum(1), arange(data.shape[0]))
            ax3.set_ylim([0, data.shape[0]])
            #ax3.plot(arange(data.shape[0]),data.sum(1))
            #ax2.set_ylim([dmin, dmax])
        else:

            x = 0
            for i in imagen:
                if x == 0:
                    f = figure()
                subplot(size[0], size[1], x)

                data = images.getImage(i)
                if log:
                    data = numpy.ma.array(data, mask = data <= 0)
                    data = log10(data)
            
                if limits is not None:
                    dmin, dmax = setImageRange(data, limits)
                else:
                    dmin = data.min()
                    dmax = data.max()

                imshow(data, vmin = dmin, vmax = dmax, cmap = cm.jet)
                title("%d.%d" % (self.scan.scan,i))
                x += 1
                if x == (size[0] * size[1]):
                    x = 0
            

